A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters

Gerstgrasser, Matthias; Nicholls, Sarah; Stout, Michael; Smart, Katherine; Powell, Chris; Kypraios, Theodore; Stekel, Dov J.

doi:10.1142/S0219720016500074

All Outputs (4)

So why have you added me? Adolescent girls’ technology-mediated attachments and relationships (2016)
Journal Article

Technology plays an almost ubiquitous role in contemporary British society. Despite this, we do not have a well-theorised understanding of the ways adolescent girls use digital devices in the context of their developing secure relationships with thei... Read More about So why have you added me? Adolescent girls’ technology-mediated attachments and relationships.

Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate (2016)
Journal Article

Antimicrobial resistance is of global concern. Most antimicrobial use is in agriculture; manures and slurry are especially important because they contain a mix of bacteria, including potential pathogens, antimicrobial resistance genes and antimicrobi... Read More about Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate.

Multidrug resistant, extended spectrum β-lactamase (ESBL)-producing Escherichia coli isolated from a dairy farm (2016)
Journal Article

Escherichia coli strains were isolated from a single dairy farm as a sentinel organism for the persistence of antibiotic resistance genes in the farm environment. Selective microbiological media were used to isolate 126 E. coli isolates from slurry a... Read More about Multidrug resistant, extended spectrum β-lactamase (ESBL)-producing Escherichia coli isolated from a dairy farm.

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters (2016)
Journal Article

Biolog phenotype microarrays enable simultaneous, high throughput analysis of cell cultures in different environments. The output is high-density time-course data showing redox curves (approximating growth) for each experimental condition. The softwa... Read More about A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.